Related Experiment Video
Updated: Oct 11, 2026

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
Published on: April 13, 2022
TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry
Krish Ramadurai1, Abhirup Banerjee2
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. krish.ramadurai@st-hildas.ox.ac.uk.
Abstract:
Artificial intelligence (AI) has transformed molecular prediction and design, yet these advances remain only partially integrated with experimental discovery. We define TechBio 3.0 as an emerging paradigm for closed-loop drug discovery that connects multimodal molecular representations, generative chemistry, and automated experimentation. We examine its early preclinical and clinical evidence, identify remaining technical and translational barriers, and argue that this convergence is beginning to define biotechnology's next era.
Related Concept Videos
Drug Discovery: Overview
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Non-equilibrium in the Cell
Principles of Drug Action
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...
Pharmacogenomics: Identification of New Drug Targets